Magnetic resonance imaging as a prognostic disability marker in clinically isolated syndrome: A systematic review

被引:11
|
作者
Rahn, Anne C. [1 ]
Koepke, Sascha [2 ]
Stellmann, Jan-Patrick [1 ]
Schiffmann, Insa [1 ]
Lukas, Carsten [3 ]
Chard, Declan [4 ,5 ]
Heesen, Christoph [1 ,6 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf, Inst Neuroimmunol & Multiple Sclerosis, Hamburg, Germany
[2] Univ Lubeck, Nursing Res Unit, Lubeck, Germany
[3] Ruhr Univ, St Josef Hosp Bochum, Dept Radiol, Bochum, Germany
[4] UCL, Inst Neurol, NMR Res Unit, Queen Sq Multiple Sclerosis Ctr, London, England
[5] Univ Coll London Hosp, Natl Inst Hlth Res, Biomed Res Ctr, London, England
[6] Univ Med Ctr Hamburg Eppendorf, Dept Neurol, Hamburg, Germany
来源
ACTA NEUROLOGICA SCANDINAVICA | 2019年 / 139卷 / 01期
关键词
clinically isolated syndrome; disability; MRI; multiple sclerosis; prognosis; systematic review; MAGNIMS CONSENSUS GUIDELINES; MULTIPLE-SCLEROSIS; FOLLOW-UP; OPTIC NEURITIS; BRAIN MRI; LONG-TERM; LESIONS; CRITERIA; ABNORMALITIES; PREDICTS;
D O I
10.1111/ane.13010
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Magnetic resonance imaging (MRI) is the key prognostic tool in people with a clinically isolated syndrome (CIS). There is increasing interest in treating people following a CIS in the hope that conversion to multiple sclerosis (MS) will be prevented and future disability reduced. So far, the prognostic value of MRI for disability following a CIS has not been evaluated systematically. We systematically searched MEDLINE and EMBASE. Cohort studies were selected if they reported associations of MRI and disability following a CIS, included at least 50 people with a CIS at baseline, had at least 5 years of follow-up and obtained at least one structural MRI measurement (T1 lesions, T2 lesions, T1 contrast-enhancing lesions or brain atrophy). We assessed the studies for quality and rated the completeness of MRI reporting. In total, 13 studies were identified reporting on the following: T2 lesion number and volume, T2 infratentorial lesion number and volume, T1 contrast-enhancing lesions and grey matter fraction. T2 brain lesion number determined soon after the occurrence of a CIS was associated with disability progression after 5-7 years, with an increased risk when 10 or more lesions were present. Infratentorial lesions were also associated with a higher risk of subsequent disability. The number and distribution of MRI-visible lesions soon after a CIS are associated with disability later on, and may offer additional useful information when making treatment decisions in people with early MS. Further work is required to determine whether other measures have a higher predictive potential.
引用
收藏
页码:18 / 32
页数:15
相关论文
共 50 条
  • [31] Prognostic Indicators in Pediatric Clinically Isolated Syndrome
    Iaffaldano, Pietro
    Simone, Marta
    Lucisano, Giuseppe
    Ghezzi, Angelo
    Coniglio, Gabriella
    Morra, Vincenzo Brescia
    Salemi, Giuseppe
    Patti, Francesco
    Lugaresi, Alessandra
    Izquierdo, Guillermo
    Bergamaschi, Roberto
    Cabrera-Gomez, Jose Antonio
    Pozzilli, Carlo
    Millefiorini, Enrico
    Alroughani, Raed
    Boz, Cavit
    Pucci, Eugenio
    Zimatore, Giovanni Bosco
    Sola, Patrizia
    Lus, Giacomo
    Maimone, Davide
    Avolio, Carlo
    Cocco, Eleonora
    Sajedi, Seyed Aidin
    Costantino, Gianfranco
    Duquette, Pierre
    Shaygannejad, Vahid
    Petersen, Thor
    Fernandez Bolanos, Ricardo
    Paolicelli, Damiano
    Tortorella, Carla
    Spelman, Tim
    Margari, Lucia
    Amato, Maria Pia
    Comi, Giancarlo
    Butzkueven, Helmut
    Trojano, Maria
    ANNALS OF NEUROLOGY, 2017, 81 (05) : 729 - 739
  • [32] Re: Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature
    Sivaraman, Arjun
    Sanchez-Salas, Rafael
    EUROPEAN UROLOGY, 2015, 68 (04) : 738 - 738
  • [33] The prognostic value of brain magnetic resonance imaging and oligoclonal bands in clinically isolated syndromes:: 5 year follow-up
    Tintoré, M
    Rovira, A
    Río, J
    Téllez, N
    Nos, C
    Grivé, E
    Pelayo, R
    Montalbon, X
    MULTIPLE SCLEROSIS, 2004, 10 (7032): : S187 - S187
  • [34] Prognostic value of myocardial fibrosis on cardiac magnetic resonance imaging in patients with ischemic cardiomyopathy: A systematic review
    Chery, Godefroy
    Kamp, Nicholas
    Kosinski, Andrzej S.
    Schmidler, Gillian Sanders
    Lopes, Renato D.
    Patel, Manesh
    Al-Khatib, Sana M.
    AMERICAN HEART JOURNAL, 2020, 229 : 52 - 60
  • [35] Sinusoidal obstruction syndrome: A systematic review of etiologies,clinical symptoms, and magnetic resonance imaging features
    Yun Zhang
    Han-Yu Jiang
    Yi Wei
    Bin Song
    World Journal of Clinical Cases, 2019, (18) : 2746 - 2759
  • [36] Sinusoidal obstruction syndrome: A systematic review of etiologies, clinical symptoms, and magnetic resonance imaging features
    Zhang, Yun
    Jiang, Han-Yu
    Wei, Yi
    Song, Bin
    WORLD JOURNAL OF CLINICAL CASES, 2019, 7 (18) : 2746 - 2759
  • [37] Some magnetic resonance imaging findings may predict future low back pain and disability: a systematic review
    Han, Christopher S.
    Maher, Christopher G.
    Steffens, Daniel
    Diwan, Ashish
    Magnussen, John
    Hancock, Emma C.
    Hancock, Mark J.
    JOURNAL OF PHYSIOTHERAPY, 2023, 69 (02) : 79 - 92
  • [38] Systematic review of magnetic resonance imaging for diagnosis of Meniere disease
    Lopez-Escamez, Jose A.
    Attye, Arnaud
    JOURNAL OF VESTIBULAR RESEARCH-EQUILIBRIUM & ORIENTATION, 2019, 29 (2-3): : 121 - 129
  • [39] Magnetic resonance imaging of the human locus coeruleus: A systematic review
    Liu, Kathy Y.
    Marijatta, Freya
    Haemmerer, Dorothea
    Acosta-Cabronero, Julio
    Duezel, Emrah
    Howard, Robert J.
    NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2017, 83 : 325 - 355
  • [40] Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review
    Valverde, Juan Miguel
    Imani, Vandad
    Abdollahzadeh, Ali
    De Feo, Riccardo
    Prakash, Mithilesh
    Ciszek, Robert
    Tohka, Jussi
    JOURNAL OF IMAGING, 2021, 7 (04)